Attention [1]}, [2]} has become an ubiquitous approach for sequence data processing, achieving state-of-the-art performance in multitude of fields such as NLP [3]} and CV [4]}. It has also shown to be useful in MARL when processing input observations of all agents [5]} or solving credit assignment [6]}.
